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bagging and boosting: brief introduction

bagging and boosting: brief introduction

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发布于
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2060
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Bagging and boosting are meta-algorithms that pool decisions from multiple classifiers. Bagging is invented from bootstrap aggregating. Boosting is iteratively learning weak classifiers, there are many different kinds of boosting algorithms.
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